Outputs (696)

Resilience in the context of Nuclear safety engineering (2020)
Presentation / Conference Contribution
Yan, R., Tolo, S., Dunnett, S., Andrews, J., & Patelli, E. (2020, January). Resilience in the context of Nuclear safety engineering. Presented at RAMS 2020: 66th Annual Reliability and Maintainability Symposium, Palm Springs, California, USA

The safety and reliability of critical infrastructures is a key challenge in modern societies. This is all the more true when referring to the nuclear power industry, due to the rigid safety requirements on the one hand and the growing complexity of... Read More about Resilience in the context of Nuclear safety engineering.

Modelling the permeability of random discontinuous carbon fibre preforms (2020)
Journal Article
Xiao, Z., Liu, X., Harper, L. T., Endruweit, A., & Warrior, N. A. (2020). Modelling the permeability of random discontinuous carbon fibre preforms. Journal of Composite Materials, 54(20), 2739-2751. https://doi.org/10.1177/0021998320902506

A force-directed algorithm was developed to create representative geometrical models of fibre distributions in Directed Carbon Fibre Preforms (DCFP). Local permeability values were calculated for the preform models depending on the local fibre orient... Read More about Modelling the permeability of random discontinuous carbon fibre preforms.

Deep Learning with Dynamically Weighted Loss Function for Sensor-Based Prognostics and Health Management (2020)
Journal Article
Rengasamy, D., Jafari, M., Rothwell, B., Chen, X., & Figueredo, G. P. (2021). Deep Learning with Dynamically Weighted Loss Function for Sensor-Based Prognostics and Health Management. Sensors, 20(3), Article 723. https://doi.org/10.3390/s20030723

Deep learning has been employed to prognostic and health management of automotive and aerospace with promising results. Literature in this area has revealed that most contributions regarding deep learning is largely focused on the model’s architectur... Read More about Deep Learning with Dynamically Weighted Loss Function for Sensor-Based Prognostics and Health Management.

Preparation and characteristics evaluation of mono and hybrid nano-enhanced phase change materials (NePCMs) for thermal management of microelectronics (2020)
Journal Article
Arshad, A., Jabbal, M., & Yan, Y. (2020). Preparation and characteristics evaluation of mono and hybrid nano-enhanced phase change materials (NePCMs) for thermal management of microelectronics. Energy Conversion and Management, 205, Article 112444. https://doi.org/10.1016/j.enconman.2019.112444

Efficient, clean and quiet thermal management has become a vital challenge in for cooling of electronic devices. To enhance the capability and efficiency of passive thermal management , novel composite materials have been designed by the combination... Read More about Preparation and characteristics evaluation of mono and hybrid nano-enhanced phase change materials (NePCMs) for thermal management of microelectronics.

CFDST sections with square stainless steel outer tubes under axial compression: Experimental investigation, numerical modelling and design (2020)
Journal Article
Wang, F., Young, B., & Gardner, L. (2020). CFDST sections with square stainless steel outer tubes under axial compression: Experimental investigation, numerical modelling and design. Engineering Structures, 207, Article 110189. https://doi.org/10.1016/j.engstruct.2020.110189

The use of concrete-filled double skin tubular (CFDST) cross-sections for compression members has become increasingly popular in construction. A recently proposed innovative form of CFDST cross-section, ultilising stainless steel for the outer tube,... Read More about CFDST sections with square stainless steel outer tubes under axial compression: Experimental investigation, numerical modelling and design.

A new non-linear RANS model with enhanced near-wall treatment of turbulence anisotropy (2020)
Journal Article
Fadhila, H., Medina, H., Aleksandrova, S., & Benjamin, S. (2020). A new non-linear RANS model with enhanced near-wall treatment of turbulence anisotropy. Applied Mathematical Modelling, 82, 293-313. https://doi.org/10.1016/j.apm.2020.01.056

A new ω-based non-linear eddy-viscosity model is proposed. It was developed based on the original k−ω model and formulated using a quadratic stress-strain relation for the Reynolds stress tensor, with an added realisability condition. For enhanced tr... Read More about A new non-linear RANS model with enhanced near-wall treatment of turbulence anisotropy.

Preclinical biological and physicochemical evaluation of two-photon engineered 3D biomimetic copolymer scaffolds for bone healing (2020)
Journal Article
Kampleitner, C., Changi, K., Felfel, R. M., Scotchford, C. A., Sottile, V., Kluger, R., Hoffmann, O., Grant, D. M., & Epstein, M. M. (2020). Preclinical biological and physicochemical evaluation of two-photon engineered 3D biomimetic copolymer scaffolds for bone healing. Biomaterials Science, 8(6), 1683-1694. https://doi.org/10.1039/c9bm01827a

A major challenge in orthopedics is the repair of large non-union bone fractures. A promising therapy for this indication is the use of biodegradable bioinspired biomaterials that stabilize the fracture site, relieve pain and initiate bone formation... Read More about Preclinical biological and physicochemical evaluation of two-photon engineered 3D biomimetic copolymer scaffolds for bone healing.

Emissive Platinum(II) Cages with Reverse Fluorescence Resonance Energy Transfer for Multiple Sensing (2020)
Journal Article
Zhang, Z., Zhao, Z., Wu, L., Lu, S., Ling, S., Li, G., Xu, L., Ma, L., Hou, Y., Wang, X., Li, X., He, G., Wang, K., Zou, B., & Zhang, M. (2020). Emissive Platinum(II) Cages with Reverse Fluorescence Resonance Energy Transfer for Multiple Sensing. Journal of the American Chemical Society, 142(5), 2592-2600. https://doi.org/10.1021/jacs.9b12689

It is quite challenging to realize fluorescence resonance energy transfer (FRET) between two chromophores with specific positions and directions. Herein, through the self-assembly of two carefully selected fluorescent ligands via metal-coordination i... Read More about Emissive Platinum(II) Cages with Reverse Fluorescence Resonance Energy Transfer for Multiple Sensing.

An Analysis of the Thermal Interaction Between Components in Power Converter Applications (2020)
Journal Article
Shahjalal, M., Ahmed, M. R., Lu, H., Bailey, C., & Forsyth, A. J. (2020). An Analysis of the Thermal Interaction Between Components in Power Converter Applications. IEEE Transactions on Power Electronics, 35(9), 9082-9094. https://doi.org/10.1109/tpel.2020.2969350

Accurately predicting the temperature of semiconductor devices is very important in the initial design of the power electronics converter. RC thermal models derived from the well-known methods have some ability to predict the temperature. However, th... Read More about An Analysis of the Thermal Interaction Between Components in Power Converter Applications.

Bioleaching for resource recovery from low-grade wastes like fly and bottom ashes from municipal incinerators: A SWOT analysis (2020)
Journal Article
Gomes, H. I., Funari, V., & Ferrari, R. (2020). Bioleaching for resource recovery from low-grade wastes like fly and bottom ashes from municipal incinerators: A SWOT analysis. Science of the Total Environment, 715, Article 136945. https://doi.org/10.1016/j.scitotenv.2020.136945

Bioleaching (or microbial leaching) is a biohydrometallurgical technology that can be applied for metal recovery from anthropogenic waste streams. In particular, fly ashes and bottom ashes of municipal solid waste incineration (MSWI) can be used as a... Read More about Bioleaching for resource recovery from low-grade wastes like fly and bottom ashes from municipal incinerators: A SWOT analysis.